Tool dossier

Cortex

Deploy, manage, and scale machine learning models in production.

1 sources 8,022 stars Apache-2.0

Product snapshot

How the interface presents itself

Cortex interface screenshot

Positioning

What this project is really offering

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About

Cortex provides cloud infrastructure for deploying, managing, and scaling machine learning models in production. It supports various workloads, including real-time, asynchronous, and batch processing, with automated cluster management and CI/CD integrations for seamless operation. Cortex is built for AWS, leveraging EKS, VPC, and IAM to ensure reliable, secure, and scalable machine learning applications. Its comprehensive feature set makes it an invaluable tool for managing machine learning operations at scale.

Highlights

The capabilities most worth remembering

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Serverless workloads

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Async processing

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Batch processing

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Cluster autoscaling

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Spot instances

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Environments

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Provisioning

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Metrics

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Logs

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EKS

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VPC

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IAM

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Model serving

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MLOps

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Microservices

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Image, video, and audio processing

Evidence

What backs up the editorial summary